NVIDIA RTX PRO 4500 Blackwell vs NVIDIA Tesla P40

For running models locally, priced in the US. At 32k context the first runs 61 models fully in memory, the second 57.

In short

The NVIDIA RTX PRO 4500 Blackwell has more memory for models: 32 GB against 24 GB. At 32k context the NVIDIA RTX PRO 4500 Blackwell runs 61 of the models we track fully in memory and the NVIDIA Tesla P40 57; only the NVIDIA RTX PRO 4500 Blackwell holds Kimi Linear 48B-A3B. On the models both run fully in memory, the NVIDIA RTX PRO 4500 Blackwell is about 2.6× as fast as the NVIDIA Tesla P40 (estimated, median across models).

Updated . Speeds are estimates; how they are worked out.

Specifications

SpecNVIDIA RTX PRO 4500 BlackwellNVIDIA Tesla P40
GPURTX PRO 4500 BlackwellTesla P40
Memory32 GB GDDR724 GB GDDR5
Memory bus256-bit384-bit
Memory bandwidth896 GB/s346 GB/s
FP16 compute54.94 TFLOPS11.8 TFLOPS
SoftwareCUDACUDA
Board power200 W250 W
PCIe generationGen 5Gen 3
PCIe lanesx16x16

What each runs

Estimated decode speed with the most precise quant that fits each one est.

ModelNVIDIA RTX PRO 4500 BlackwellNVIDIA Tesla P40
Qwen 3.8 27B18tok/sQ8_09tok/sQ5_K_M
Qwen 3.6 27B18tok/sQ8_010tok/sQ5_K_M
Gemma 4 31B19tok/sQ6_K10tok/sQ4_K_M
Qwen 3.6 35B-A3B101tok/sQ6_K50tok/sQ4_K_M
Qwen 3.5 27B18tok/sQ8_010tok/sQ5_K_M
Gemma 4 26B-A4B66tok/sQ8_029tok/sUD-Q6_K
Qwen 3.5 35B-A3B106tok/sQ6_K50tok/sQ4_K_M
GLM 4.7 Flash57tok/sQ6_K24tok/sQ5_K_M
Devstral Small 2 24B18tok/sQ8_010tok/sQ5_K_M
Nemotron 3.5 Lightning 30B-A3B107tok/sUD-Q5_K_M52tok/sMXFP4
Kimi Linear 48B-A3B156tok/sQ4_K_Moffload
gpt-oss 20B103tok/sMXFP440tok/sMXFP4
Qwen3 Coder 30B-A3B59tok/sQ6_K26tok/sQ4_K_M
Qwen3 32B18tok/sQ5_K_Moffload
Gemma 4 12B41tok/sQ8_016tok/sQ8_0
Qwen 3.5 9B52tok/sQ8_020tok/sQ8_0
Mistral Small 3.2 24B18tok/sQ8_010tok/sQ5_K_M
Gemma 3 27B18tok/sQ8_010tok/sQ5_K_M
DeepSeek R1 Distill Qwen 32B17tok/sQ5_K_Moffload
Ministral 3 14B28tok/sQ8_011tok/sQ8_0
Qwen3 14B26tok/sQ8_010tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B41tok/sQ8_016tok/sQ8_0
Qwen3 8B41tok/sQ8_016tok/sQ8_0
Phi-4 14B25tok/sQ8_010tok/sQ8_0
Qwen 3.5 4B99tok/sQ8_038tok/sQ8_0
Ministral 3 8B41tok/sQ8_016tok/sQ8_0
Granite 4.2 8B38tok/sQ8_015tok/sQ8_0
Gemma 4 E4B61tok/sQ8_023tok/sQ8_0
LFM2.5 8B-A1B125tok/sQ8_048tok/sQ8_0
Llama 3.1 8B51tok/sQ6_K20tok/sQ6_K
Qwen2.5 0.5B595tok/sQ8_0230tok/sQ8_0
Qwen3.5 0.8B450tok/sQ8_0174tok/sQ8_0
Qwen3.5 2B299tok/sQ5_K_M116tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B196tok/sQ8_076tok/sQ8_0
MiniCPM5 2B136tok/sQ8_053tok/sQ8_0
Spark X2.5 4B129tok/smlx-4bit50tok/smlx-4bit
LFM2.5 2.6B114tok/sQ8_044tok/sQ8_0
LFM2.5 VL 3B114tok/sQ8_044tok/sQ8_0
Mellum2.1 12B A2.5B Thinking105tok/sQ8_041tok/sQ8_0
FrogNano 4B 260997tok/sQ8_037tok/sQ8_0
granite vision 4.1 4b88tok/sQ8_034tok/sQ8_0
granite 4.2 3b85tok/sQ8_033tok/sQ8_0
Kimi VL A3B Thinking 250681tok/sQ8_031tok/sQ8_0
Kimi VL A3B78tok/smlx-8bit30tok/smlx-8bit
Ministral 3 3B Instruct 251278tok/sQ8_030tok/sQ8_0
LFM2.5 24B A2B69tok/sQ8_029tok/sQ6_K
GLM 4 9B 041458tok/smlx-5bit22tok/smlx-5bit
DeepSeek R1 Distill Qwen 7B56tok/sQ8_022tok/sQ8_0
GLM 4.6V Flash49tok/sQ8_019tok/sQ8_0
DeepSeek R1 Distill Llama 8B43tok/sQ8_017tok/sQ8_0
GLM 4.1V 9B Thinking42tok/smlx-8bit16tok/smlx-8bit
Ministral 3 8B Reasoning 251241tok/sQ8_016tok/sQ8_0
Ministral 3 14B Reasoning 251228tok/sQ8_011tok/sQ8_0
DeepSeek R1 Distill Qwen 14B25tok/sQ8_010tok/sQ8_0
Qwen3.8 27B OBLITERATED24tok/smlx-4bit9tok/smlx-4bit
Muse Glimmer 30B23tok/sQ6_K9tok/sQ6_K
granite 4.2 30b19tok/sQ5_K_Moffload
Devstral Small 250718tok/sQ8_010tok/sQ5_K_M
Magistral Small 250618tok/sQ8_010tok/sQ5_K_M
Magistral Small 250718tok/sQ8_010tok/sQ5_K_M
Magistral Small 250918tok/sQ8_010tok/sQ5_K_M
Qwen 3.5 122B-A10Boffloadoffload
Qwen3 Coder Nextoffloadoffload
Nemotron 3 Super 120B-A12Boffloadwon't run
Mistral Small 4 119Boffloadoffload
GLM 4.5 Airoffloadoffload
Qwen3 Next 80B-A3Boffloadoffload
Llama 3.3 70Boffloadwon't run
DeepSeek R1 Distill Llama 70Boffloadwon't run
DeepSeek V4 Flashwon't runwon't run
GLM 5.3 Flashwon't runwon't run
Qwen 3.8 Flash Nextwon't runwon't run
MiniMax M2.7won't runwon't run
gpt-oss 120Bwon't runwon't run
DeepSeek R1won't runwon't run
DeepSeek R1 0528won't runwon't run
DeepSeek R1 Zerowon't runwon't run
DeepSeek V3won't runwon't run
DeepSeek V3 0324won't runwon't run
DeepSeek V3.1won't runwon't run
DeepSeek V3.1 Terminuswon't runwon't run
DeepSeek V3.2won't runwon't run
DeepSeek V4 Flash 0731won't runwon't run
DeepSeek V4 Flash Vision Expwon't runwon't run
Devstral 2 123B Instruct 2512won't runwon't run
GLM 4.5won't runwon't run
GLM 4.5Vwon't runwon't run
GLM 4.6won't runwon't run
GLM 4.6Vwon't runwon't run
GLM 4.7won't runwon't run
GLM 5won't runwon't run
GLM 5.1won't runwon't run
GLM 5.2won't runwon't run
GLM 5.3won't runwon't run
Kimi Dev 72Bwon't runwon't run
Kimi K2won't runwon't run
Kimi K2 Instruct 0905won't runwon't run
Kimi K2 Thinkingwon't runwon't run
Kimi K2.5won't runwon't run
MiniMax M2won't runwon't run
MiniMax M2.1won't runwon't run
MiniMax M2.5won't runwon't run
MiniMax M3won't runwon't run
Mistral Medium 3.5 128Bwon't runwon't run

Questions

Which is better for local AI, the NVIDIA RTX PRO 4500 Blackwell or the NVIDIA Tesla P40?
Choose the NVIDIA RTX PRO 4500 Blackwell to run bigger models. Choose the NVIDIA RTX PRO 4500 Blackwell for speed.
Which can run bigger models, the NVIDIA RTX PRO 4500 Blackwell or the NVIDIA Tesla P40?
At 32k context the NVIDIA RTX PRO 4500 Blackwell runs 61 of the models we track fully in memory and the NVIDIA Tesla P40 57; only the NVIDIA RTX PRO 4500 Blackwell holds Kimi Linear 48B-A3B.
Which is faster for local AI, the NVIDIA RTX PRO 4500 Blackwell or the NVIDIA Tesla P40?
On the models both run fully in memory, the NVIDIA RTX PRO 4500 Blackwell is about 2.6× as fast as the NVIDIA Tesla P40 (estimated, median across models).

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